Search faces in your library/database. Works across angles, lighting, and expressions. No ML pipeline required.
Try Vecstore FreeQuery

"Find this person"
1 face detected
Results




1
API call
0
ML models
0
config
<180ms
Search latency
99.9%
Uptime
Millions
of images searchable
40,000 photos, one question: "Show me every photo of my daughter." Face search answers it instantly. No tags, no albums, no scrolling.
Wedding, conference, concert. Each guest uploads a selfie and gets back every shot they appear in. Replaces hours of manual sorting with one API call.
Catch duplicate accounts and fake profiles. Search uploaded photos against your existing user base to flag repeated faces across accounts. Automated trust and safety.
Match a captured face against an authorized database in real time. Not face recognition (putting a name to a face) but face matching (finding a match in a known set).
Step 1
Vecstore finds the face in your image.
Step 2
The face becomes a set of numbers. Only the vector is stored.
Step 3
The original face is never saved. You can't reconstruct it from the vector.
<180ms
Search latency
99.9%
Uptime
Any scale
Millions of images
MTCNN, RetinaFace, or similar
ArcFace, FaceNet, or similar
$2-10K/month in cloud compute
Pinecone, Qdrant, Milvus, or pgvector
Queue, worker, monitoring
Estimated time to production
2-4 months
Faces detected and indexed automatically
Results with similarity scores
No GPUs, no models, no vector DB
Vectors only, no face images stored
Scale up or down, no commitment
Time to production
An afternoon
One API key. One database. Search by face, by image similarity, by text description, or by text inside images. No separate systems.
If your platform accepts user-uploaded images, content moderation is one API call away. No separate moderation pipeline needed.

1M+ searches powered by Vecstore this year
25 Free credits. No credit card required.